A Network Performance Analysis of MQTT Security Protocols with Constrained Hardware in the Dark Net for DMS

This study proposes an architectural solution for managing critical traffic in Internet of Things and distributed measurement systems, addressing privacy concerns. The approach uses a standard encrypted channel for non-sensitive data and a dedicated private channel for sensitive aggregated data, optimizing both confidentiality and transmission speed. It emphasizes the importance of small messages (5 k-byte) to enhance privacy and system responsiveness. The performance analysis highlights trade-offs between security and performance in IoT networks using Dark Net technologies and MQTT protocols, noting challenges such as increased latency and network instability. The study suggests exploring alternative protocols and optimizing the balance between privacy and performance in Dark Net-based IoT deployments.